class_docstr: Manages label issues in a Datalab.
  
  Parameters
  ----------
  datalab :
      A Datalab instance.
  
  k :
      The number of nearest neighbors to consider when computing pred_probs from features.
      Only applicable if features are provided and pred_probs are not.
  
  clean_learning_kwargs :
      Keyword arguments to pass to the :py:meth:`CleanLearning <cleanlab.classification.CleanLearning>` constructor.
  
  health_summary_parameters :
      Keyword arguments to pass to the :py:meth:`health_summary <cleanlab.dataset.health_summary>` function.
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docstr: Searches for keyword arguments that are meant for the
  CleanLearning.find_label_issues method call
  
  Examples
  --------
  >>> from cleanlab.datalab.internal.issue_manager.label import LabelIssueManager
  >>> LabelIssueManager._process_clean_learning_kwargs(thresholds=[0.1, 0.9])
  {'thresholds': [0.1, 0.9]}
docstr_tok: ["Searches","for","keyword","arguments","that","are","meant","for","the","CleanLearning.find_label_issues","method","call","Examples","--","--","--","--",">",">",">","from","cleanlab.datalab.internal.issue_manager.label","import","LabelIssueManager",">",">",">","LabelIssueManager._process_clean_learning_kwargs","(","thresholds=","[","0.1",",","0.9","]",")","{","'thresholds","'",":","[","0.1",",","0.9","]","}"]
code: def _process_find_label_issues_kwargs(
      kwargs: Dict[str, Any]
  ) -> Dict[str, Any]:
      """Searches for keyword arguments that are meant for the
      CleanLearning.find_label_issues method call
  
      Examples
      --------
      >>> from cleanlab.datalab.internal.issue_manager.label import LabelIssueManager
      >>> LabelIssueManager._process_clean_learning_kwargs(thresholds=[0.1, 0.9])
      {'thresholds': [0.1, 0.9]}
      """
      accepted_kwargs = [
          "thresholds",
          "noise_matrix",
          "inverse_noise_matrix",
          "save_space",
          "clf_kwargs",
          "validation_func",
      ]
      return {
          k: v
          for k, v in kwargs.items()
          if k in accepted_kwargs and v is not None
      }
  
file_path: cleanlab/cleanlab/datalab/internal/issue_manager/label.py
imports: from __future__ import annotations
  from typing import TYPE_CHECKING, Any, ClassVar, Dict, Optional
  from sklearn.neighbors import KNeighborsClassifier
  from sklearn.preprocessing import OneHotEncoder
  import numpy
  from cleanlab.classification import CleanLearning
  from cleanlab.datalab.internal.issue_manager import IssueManager
  from cleanlab.internal.validation import assert_valid_inputs
label_desc: Use image node_id 2 for calling the LabelIssueManager obj's underlying member method code with example usage: obj._process_find_label_issues_kwargs(kwargs) and returns: unknown